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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

2,928 concepts found, displaying 481 to 500.First2122232425262728Last
Id Label Status Status Modified Notation
505749 Velušovce Quick edit Valid 2013-05-30 505749
505757 Vozokany Quick edit Valid 2013-05-30 505757
505765 Vysočany Quick edit Valid 2013-05-30 505765
505773 Závada Quick edit Valid 2013-05-30 505773
505790 Zlatníky Quick edit Valid 2013-05-30 505790
505803 Žabokreky nad Nitrou Quick edit Valid 2013-05-30 505803
505811 Žitná-Radiša Quick edit Valid 2013-05-30 505811
505820 Trenčín Quick edit Valid 2013-05-30 505820
505838 Adamovské Kochanovce Quick edit Valid 2013-05-30 505838
505846 Beckov Quick edit Valid 2013-05-30 505846
505854 Bobot Quick edit Valid 2013-05-30 505854
505871 Bošáca Quick edit Valid 2013-05-30 505871
505889 Brunovce Quick edit Valid 2013-05-30 505889
505897 Bzince pod Javorinou Quick edit Valid 2013-05-30 505897
505901 Čachtice Quick edit Valid 2013-05-30 505901
505919 Častkovce Quick edit Valid 2013-05-30 505919
505935 Dolná Poruba Quick edit Valid 2013-05-30 505935
505943 Dolná Súča Quick edit Valid 2013-05-30 505943
505951 Dolné Srnie Quick edit Valid 2013-05-30 505951
505960 Drietoma Quick edit Valid 2013-05-30 505960
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?